Uncovering gaps in women's authorship: A big data analysis in academic surgery.

Introduction: Women are underrepresented in surgical authorship. Using big data analyses, we aimed to investigate women's representation as first and last authors in surgical publications worldwide and identify underlying predictors.

Methods: We retrieved eligible surgical journals using Scimago Journal & Country Rank 2021.